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On Mission to build and learn something everyday
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On Mission to build and learn something everyday
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imdhruv99/README.md

Hi there! I'm Dhruv Prajapati

You can call me DP, if you like.

class KnowMe:
  
  User = "Dhruv Prajapati"
  College = "Goventment Engineering College, Modasa"
  Degree = "Bachelor of Engineering"

  def Technical_Skills():
  
    ProgrammingLanguages = ["Python", "Go", "Java", "Rust", "C++", "Nodejs", "R"]

    Technologies = {
      "Python": ["Flask", "Django"],
      "Java": ["Spring Boot"],
      "Go": ["Gin", "Beego"],
      "Node": ["Express", "React", "Vue"],
      "FrontEnd_Technologies": ["HTML5", "CSS3", "JavaScript", "Ajax"],
      "Machine_Learning_Libraries": ["Numpy", "Pandas", "Matplotlib", "Scikit-Learn", "XGBoost", "Folium", "Seaborn", "Scipy"],
      "Deep_Learning_Libraries": ["Tensorflow", "Keras"],
      "Databases": ["MySql", "SQLite3", "MongoDB"],
      "Version_Control_System": ["GitHub", "GitLab", "BitBucket"],
      "Container_Technology": ["Docker"],
      "Orchestration_Technology": ["Kubernetes"],
      "Infrastructure_As_Code": ["Terraform", "AWS CloudFormation"],
      "Configuration_Management": ["Ansible"],
      "CICD_Tool": ["Jenkins"],
      "Log_Management_Technology": ["ELK Stack"],
      "Infrastructure_Monitoring": ["Prometheus", "Grafana"],
      "Cloud_Providers": ["AWS", "GCP"]
    }

    Architecture = ['MVC', 'Serverless', 'Microservices']

    return ProgrammingLanguages, Technologies, Architecture
  
  def Ambitions():
    MachineLearning()
    DeepLearning()
    MLOps()
    DevOps()
    TravelTheWorld()
    # Assume 50 more here :-)

  def Hobbies():
    hobbies = [
      "Astro-Physics", "Dragon Ball", "Sci-Fi Movies", "Quantum Technologies"
    ]
    return hobbies

  CurrentFocus = "Developing full stacks projects on Machine Learning and Deep Learning Technologies."

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Pinned

  1. Machine-Learning-Python Machine-Learning-Python Public

    Machine Learning using Python

    Jupyter Notebook 2

  2. Deep-Learning-Python Deep-Learning-Python Public

    Deep Learning using Python

    Jupyter Notebook 2

  3. Machine-Learning-R Machine-Learning-R Public

    Machine Learning using R-Language

    R 2

  4. Deep-Learning-R Deep-Learning-R Public

    Deep Learning using R Language

    R 1

  5. Breast-Cancer-Detection-ML-SVM Breast-Cancer-Detection-ML-SVM Public

    Breast Cancer Detection using Supervised Machine Learning with SVM

    Jupyter Notebook 5

  6. SentimentAnalysis-Python-Textblob-SIA-Pandas SentimentAnalysis-Python-Textblob-SIA-Pandas Public

    Sentiment Analysis using Python and Textblob and SentimentIntensityAnalyzer with pandas

    Python 4